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~isPartOf:"Working papers series in theoretical and applied economics"
~type_genre:"Bibliografie"
~type_genre:"Reprint"
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Search: subject:"Kausalanalyse"
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Causality analysis
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3
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A quasi synthetic control method for nonlinear models
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
;
Wu, Zixuan
-
2023
Persistent link: https://www.econbiz.de/10014280802
Saved in:
2
A nonparametric test for testing heterogeneity in conditional quantile treatment effects
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
;
Tang, Shengfang
-
2021
Persistent link: https://www.econbiz.de/10012663945
Saved in:
3
Testing conditional independence in macroeconomic policy evaluation for time series data
Fang, Ying
;
Lin, Ming
;
Tang, Shengfang
;
Cai, Zongwu
-
2021
Persistent link: https://www.econbiz.de/10012663950
Saved in:
4
Forecasting inflation and output growth with credit-card-augmented divisia monetary aggregates
Barnett, William A.
;
Park, Sohee
-
2021
Persistent link: https://www.econbiz.de/10012663960
Saved in:
5
Causal relationships between inflation and inflation uncertainty
Barnett, William A.
;
Jawadi, Fredj
;
Ftiti, Zied
-
2020
Persistent link: https://www.econbiz.de/10012312754
Saved in:
6
Testing unconfoundedness assumption using auxiliary variables
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
;
Tang, Shengfang
-
2020
Persistent link: https://www.econbiz.de/10012203144
Saved in:
7
Inferences for partially conditional quantile treatment effect model
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
;
Tang, Shengfang
-
2020
Persistent link: https://www.econbiz.de/10012203152
Saved in:
8
Covariate balance weighting methods in estimating treatment effects : an empirical comparison
Zhan, Mingfeng
;
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
-
2020
Persistent link: https://www.econbiz.de/10012425290
Saved in:
9
Estimating partially conditional quantile treatment effects
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
;
Tang, Shengfang
-
2020
Persistent link: https://www.econbiz.de/10012425391
Saved in:
10
Testing unconfoundedness assumption using auxiliary variables
Cai, Zongwu
;
Fang, Ying
;
Lin, Ming
;
Tang, Shengfang
-
2019
Persistent link: https://www.econbiz.de/10012203003
Saved in:
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